CN116226152A - Personal room data self-updating method and system based on community management - Google Patents
Personal room data self-updating method and system based on community management Download PDFInfo
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- CN116226152A CN116226152A CN202310449673.4A CN202310449673A CN116226152A CN 116226152 A CN116226152 A CN 116226152A CN 202310449673 A CN202310449673 A CN 202310449673A CN 116226152 A CN116226152 A CN 116226152A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a personal room data self-updating method and system based on community management, which relate to the technical field of intelligent community base layer data management, and the method comprises the following steps: the method comprises the steps of storing the personnel room data uploaded by a plurality of community treatment channels in a clue library, carrying out compliance verification on the personnel room data, and storing the personnel room data passing the compliance verification in an auxiliary library; determining channel types and channel credibility levels corresponding to community treatment channels corresponding to the personnel room data in the auxiliary library, and updating the personnel room data in the auxiliary library into a standard library by adopting a first self-updating algorithm according to the channel types and the channel credibility levels; and updating the data in the standard database by adopting a second self-updating algorithm based on the house data updated to the standard database. The invention integrates the data of each community treatment channel, and updates the data in the standard library by adopting the data self-updating algorithm, thereby not only ensuring the integrity and the freshness of the data, but also reducing the workload of basic staff.
Description
Technical Field
The invention relates to the technical field of intelligent community basic level data management, in particular to a personal room data self-updating method and system based on community management.
Background
The community needs to accurately control the conditions of real population data and real house data in the district, and the community needs to 'not leak one user and not leak one person', so that problems are found and treated in time through data analysis, and potential safety hazards are killed in the cradle; to achieve this, the integrity and freshness of the data of the human houses are relied on; therefore, a great deal of time is spent by the gridding staff to touch and arrange the situation by the way of going up to visit, and the personnel room data is collected and updated; meanwhile, the standards of different communities on the data of the houses are greatly different, so that the workload of basic level staff is further increased.
Disclosure of Invention
The invention aims to provide a community management-based personal room data self-updating method and system, which solve the problems in the prior art.
The invention is realized by the following technical scheme:
in a first aspect, the invention provides a method for automatically updating personal room data based on community management, which comprises the following steps:
storing the personnel room data uploaded by a plurality of community treatment channels in a clue library, carrying out compliance verification on the personnel room data, and storing the personnel room data passing the compliance verification in an auxiliary library so as to realize preliminary filtration of the personnel room data;
Determining channel types and channel credibility levels corresponding to the community treatment channels corresponding to the personnel house data in the auxiliary library, wherein the channel types comprise verification-free channels or channels needing verification, and the verification-free channels are used for representing the data corresponding to the community treatment channels without verification and are directly stored in a standard library; the channel to be verified shows that the data corresponding to the community treatment channel passes the verification and then is stored in a standard library;
updating the personnel room data in the auxiliary library into the standard library by adopting a first self-updating algorithm according to the channel type and the channel credibility level so as to realize secondary filtering of the personnel room data;
based on the house data updated to the standard library, updating the data in the standard database by adopting a second self-updating algorithm so as to allow staff to check and call the data and complete the self-updating of the house data; the data in the standard database is stored in the form of a digital dictionary.
Further, storing the personnel room data uploaded by the community treatment channels in a clue library, performing compliance verification on the personnel room data, and storing the personnel room data passing the compliance verification in an auxiliary library, wherein the method comprises the following steps:
Acquiring personnel room data uploaded by a plurality of community management channels in a grid member reporting channel, a property reporting channel, a house lease mechanism reporting channel, a community self-service machine reporting channel, a community resident mobile phone reporting channel and an applet reporting channel, and storing the uploaded personnel room data in a clue library;
carrying out non-empty verification on the house data by adopting a data non-empty verification rule to obtain a non-empty verification result corresponding to the house data, wherein the non-empty verification result comprises a field which is empty in the house data or a field which is not empty in the house data;
when the non-empty verification result is that the empty field exists in the personnel room data, the personnel room data with the empty field is not operated; when the non-empty verification result is that the empty field does not exist in the personnel room data, carrying out data format verification on the personnel room data by adopting a data format verification rule to obtain a data format verification result, wherein the data format verification result comprises the compliance of the formats of the personnel room data or the non-compliance of the formats of the personnel room data;
when the data format verification result is that the format of the personnel room data is not compliant, the personnel room data with the non-compliant format is not operated; when the data format verification result is that the format of the personnel room data is compliant, carrying out stock verification on the personnel room data by adopting a stock data verification rule to obtain a stock verification result, wherein the stock verification result comprises data corresponding to the personnel room data as a standard library or data corresponding to the personnel room data not as the standard library;
When the stock verification result is that the house data is not the data corresponding to the standard library, not operating the house data not corresponding to the standard library; when the stock verification result is that the house data is the data corresponding to the standard library, the house data corresponding to the standard library is stored in the auxiliary library, and the collection of the house data is completed.
Further, after the personnel house data uploaded by the plurality of community treatment channels are stored in the clue library, the method further comprises the following steps:
receiving a first person port data query instruction and/or a first house data query instruction, wherein the first person port data query instruction is used for representing a clue number corresponding to the person room data, a community administration channel name corresponding to the person room data and a combined query condition of resident names, and the first house data query instruction is used for representing a clue number corresponding to the person room data, a community administration channel name corresponding to the person room data, a community name, a floor name, a house number and a combined query condition of a house type; the cue number is used for representing the unique number allocated to the personnel room data when the personnel room data is uploaded by the community treatment channel;
according to the first person port data query instruction, determining first target person room data in the cable library, displaying the first target person room data, and/or according to the first house data query instruction, determining second target person room data in the cable library, and displaying the second target person room data.
Further, after the personnel house data uploaded by the plurality of community treatment channels are stored in the clue library, the method further comprises the following steps:
receiving a population data operation instruction and/or a house data operation instruction, wherein the population data operation instruction is used for representing modification operations corresponding to community treatment channel information, associated house information and/or population basic information corresponding to resident personnel, and the house data operation instruction is used for representing modification operations corresponding to community treatment channel information, building information and/or house basic information corresponding to houses;
modifying community treatment channel information, associated house information and/or population basic information corresponding to resident in the cable library according to the received population data operation instruction;
and/or modifying community treatment channel information, building information and/or basic house information corresponding to the houses in the wire library according to the house data operation instruction.
Further, according to the channel type and the channel credibility level, updating the personal room data in the auxiliary library into the standard library by adopting a first self-updating algorithm, including:
a1, judging whether the non-trusted people's house data exist in the auxiliary library, if so, reading one piece of non-trusted people's house data from the auxiliary library to obtain third target people's house data, otherwise, ending the process of updating the people's house data to the standard library; the unauthorised personnel house data are used for representing data which are not processed by the auxiliary library;
A2, judging whether the channel type corresponding to the third target house data is a verification-free channel, if so, marking the third target house data in the clue library as a trusted, updating the third target house data into the standard library, returning to the step A1, otherwise, entering the step A3;
a3, determining community treatment channels corresponding to third target personnel room data to obtain a first target community treatment channel, and determining community treatment channels with highest channel credibility level except the first target community treatment channel to obtain a second target community treatment channel;
a4, comparing the personnel room data corresponding to the second target community treatment channel with the third target personnel room data to obtain comparison data corresponding to the third target personnel room data, wherein the comparison data is empty or the personnel room data with the name, the certificate number and the room number of the resident personnel of the third target personnel room data;
a5, when the comparison data is the resident name, the certificate number and the room data which are the same as the third target room data, judging whether the comparison data is the same as other information in the third target room data, if so, updating the comparison data or the third target room data into a standard library, marking the third target room data and the comparison data in an auxiliary library as acquired information, and discarding the data which are the same as the certificate number and the room number of the third target room data in the auxiliary library, and returning to the step A1 to clean redundant data, otherwise, entering the step A6; the other information is used for representing information except the name, the certificate number and the room number of the resident in the room data;
When the comparison data is empty, generating a human-room data verification task, and receiving the comparison data generated by human-computer interaction as a corresponding task verification result;
judging whether the task verification result is successful, if so, updating a third target house data standard in the auxiliary library to a standard library, marking the third target house data in the auxiliary library as acquired information, and voiding the data in the auxiliary library, which are identical to the certificate number and the house number of the third target house data, and returning to the step A1 to clean redundant data, otherwise voiding the third target house data, and returning to the step A1;
and A6, judging whether the channel credibility level corresponding to the comparison data is higher than that corresponding to the third target personnel room data, if so, updating the comparison data into a standard library, returning to the step A1, otherwise, updating the third target personnel room data into the standard library, and returning to the step A1.
Further, after updating the personal room data in the auxiliary library into the standard library by adopting the first self-updating algorithm according to the channel type and the channel credibility level, the method further comprises the following steps:
receiving a second population data query instruction and/or a second house data query instruction, wherein the second population data query instruction is used for representing a clue number, a resident name, a certificate type and a combined query condition of the certificate number corresponding to the human house data, and the second house data query instruction is used for representing a clue number, a building name and a combined query condition of the house number corresponding to the human house data;
And determining fourth target house data in the auxiliary library according to the second population data query instruction, displaying the fourth target house data, and/or determining fourth target house data in the auxiliary library according to the second house data query instruction, and displaying the fourth target house data.
Further, based on the human-room data updated to the standard library, updating the data in the standard database by adopting a second self-updating algorithm comprises the following steps:
determining the certificate number and the room number in the personnel room data updated to the standard library to obtain a target certificate number and a target room number;
inquiring whether corresponding personnel room data exist in the standard library by taking the target certificate number and the target house number as inquiry conditions, if so, updating the personnel room data in the standard library on the basis of the personnel room data updated to the standard library to finish self-updating of the personnel room data, otherwise, newly adding the personnel room data in the standard library on the basis of the personnel room data updated to the standard library to finish self-updating of the personnel room data;
when the data of the person rooms are newly added in the standard library, a unique room source number is generated for each room.
Further, after updating the data in the standard database by adopting the second self-updating algorithm based on the human-room data updated to the standard database, the method further comprises:
Receiving a third population data query instruction and/or a third house data query instruction, wherein the third population data query instruction is used for representing the combined query conditions of resident names, certificate numbers and population labels, and the third house data query instruction is used for representing the combined query conditions of house source numbers, house numbers and house source labels;
and determining fifth target house data in the standard library according to the third population data query instruction, displaying the fifth target house data, and/or determining fifth target house data in the standard library according to the third house data query instruction, and displaying the fifth target house data.
Further, after updating the data in the standard database by adopting the second self-updating algorithm based on the human-room data updated to the standard database, the method further comprises:
receiving a population data dictionary operation instruction and/or a house data field operation instruction, wherein the population data dictionary operation instruction is used for representing modification operations of resident names, certificate types, certificate numbers, contact phones, sexes, marital status, party numbers, household addresses, residence records and/or population labels, and the house data field operation instruction is used for representing modification operations of house types, building areas, suite areas, house orientations, decoration conditions, property types, lease types, building information, property information, lease information and/or lease information;
And modifying the data in the standard library according to the port data dictionary operation instruction and/or modifying the data in the standard library according to the house data field operation instruction.
In a second aspect, the invention provides a community-treatment-based personal house data self-updating system, which comprises a clue library, an auxiliary library and a standard library;
the clue library is used for storing the personnel room data uploaded by the community treatment channels, carrying out compliance verification on the personnel room data, and transmitting the personnel room data passing the compliance verification to the auxiliary library so as to realize preliminary filtration of the personnel room data;
the auxiliary library is used for determining channel types and channel credibility levels corresponding to community treatment channels corresponding to the personnel house data, wherein the channel types comprise verification-free channels or channels requiring verification, and the verification-free channels are used for representing that the data corresponding to the community treatment channels do not need to be verified and are directly stored in the standard library; the channel to be verified shows that the data corresponding to the community treatment channel passes the verification and then is stored in a standard library; updating the personnel room data in the auxiliary library into the standard library by adopting a first self-updating algorithm according to the channel type and the channel credibility level so as to realize secondary filtering of the personnel room data;
The standard library is used for updating the data in the standard database by adopting a second self-updating algorithm based on the house data updated to the standard library so as to enable staff to check and call the data and complete the self-updating of the house data; the data in the standard database is stored in the form of a digital dictionary.
According to the personal room data self-updating method and system based on community management, the data of each community management channel are integrated, and the data in the standard library is updated by adopting a data self-updating algorithm, so that the integrity and the freshness of the data can be ensured, and the workload of basic staff can be reduced.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are needed in the examples will be briefly described below, it being understood that the following drawings only illustrate some examples of the present invention and therefore should not be considered as limiting the scope, and that other related drawings may be obtained from these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for automatically updating personal room data based on community management according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a system for automatically updating data of a person room based on community management according to an embodiment of the present invention.
Description of the embodiments
For the purpose of making apparent the objects, technical solutions and advantages of the present invention, the present invention will be further described in detail with reference to the following examples and the accompanying drawings, wherein the exemplary embodiments of the present invention and the descriptions thereof are for illustrating the present invention only and are not to be construed as limiting the present invention.
Example 1
As shown in fig. 1, an embodiment of the present invention provides a method for automatically updating personal room data based on community administration, including:
and S11, storing the personnel room data uploaded by the community treatment channels in a clue library, carrying out compliance verification on the personnel room data, and storing the personnel room data passing the compliance verification in an auxiliary library so as to realize preliminary filtration of the personnel room data.
And collecting data corresponding to each community treatment channel through the clue library, and ensuring the integrity of the data by carrying out compliance verification on the personnel house data.
Alternatively, the compliance check may include a data format check and a data non-null check. It should be noted that the compliance verification is only used as an example, and other data verification methods may be used for data verification. For example, a data attack detection and verification method may be used to perform data verification, so as to ensure the security of the data.
S12, determining channel types and channel credibility levels corresponding to the community treatment channels corresponding to the personnel room data in the auxiliary library, wherein the channel types comprise verification-free channels or channels requiring verification, and the verification-free channels are used for representing data corresponding to the community treatment channels without verification and are directly stored in the standard library. And after the data corresponding to the community treatment channel is verified, the channel to be verified is stored in a standard library.
Optionally, the channel type and the channel credibility level corresponding to each community treatment channel can be prestored in the auxiliary library. The higher the channel credibility level is, the more reliable the data corresponding to the community governance channel is.
S13, updating the personnel room data in the auxiliary library to the standard library by adopting a first self-updating algorithm according to the channel type and the channel credibility level so as to realize secondary filtering of the personnel room data.
And S14, updating the data in the standard database by adopting a second self-updating algorithm based on the personnel room data updated to the standard database, so that the personnel can check and call the data, and the self-updating of the personnel room data is completed. The data in the standard database is stored in the form of a digital dictionary.
In one possible implementation manner, the method for storing the personnel house data uploaded by the community treatment channels in the clue library, performing compliance verification on the personnel house data, and storing the personnel house data passing the compliance verification in the auxiliary library includes:
the method comprises the steps of obtaining personnel room data uploaded by a plurality of community management channels in a grid member reporting channel, a property reporting channel, a house lease mechanism reporting channel, a community self-service machine reporting channel, a community resident mobile phone reporting channel and an applet reporting channel, and storing the uploaded personnel room data in a clue library.
And carrying out non-empty verification on the personnel room data by adopting a data non-empty verification rule to obtain a non-empty verification result corresponding to the personnel room data, wherein the non-empty verification result comprises a field which is empty in the personnel room data or a field which is not empty in the personnel room data.
Alternatively, the rule of non-empty verification may be: the community name, the building name, the house number, the resident name, the certificate type and the certificate number are required to be satisfied and cannot be empty.
And when the non-empty verification result is that the empty field exists in the personnel room data, not operating the personnel room data with the empty field. When the non-empty verification result is that the empty field does not exist in the personnel room data, carrying out data format verification on the personnel room data by adopting a data format verification rule to obtain a data format verification result, wherein the data format verification result comprises the compliance of the formats of the personnel room data or the non-compliance of the formats of the personnel room data.
Alternatively, the data format check rule may be:
(1) The room number format needs to meet the X room numbers of X units and X layers.
(2) The certificate type format needs to meet legal standards.
(3) The identification card number needs to meet legal standard.
(4) The resident name format needs to contain only letters, numbers, kanji, underlines (a), and cannot start with numbers, underlines (a), and is no longer than 20 characters in length.
And when the data format verification result is that the format of the personnel room data is not compliant, not operating the personnel room data with the non-compliant format. When the data format check result is that the format of the personnel room data is compliant, the personnel room data is subjected to stock check by adopting a stock data check rule to obtain a stock check result, wherein the stock check result comprises data corresponding to the personnel room data as a standard library or data corresponding to the personnel room data not as the standard library.
Alternatively, the stock data verification rule may be: the community name needs to be satisfied as the existing community name in the standard library. The floor name needs to be satisfied as the floor name existing in the standard library.
And when the stock verification result is that the personnel room data is not the data corresponding to the standard library, not operating the personnel room data not corresponding to the standard library. When the stock verification result is that the house data is the data corresponding to the standard library, the house data corresponding to the standard library is stored in the auxiliary library, and the collection of the house data is completed.
In one possible implementation, after storing the house data uploaded by the plurality of community administration channels in the cue library, the method further comprises:
the method comprises the steps of receiving a first person port data query instruction and/or a first house data query instruction, wherein the first person port data query instruction is used for representing a clue number corresponding to the person room data, a community treatment channel name corresponding to the person room data and a combined query condition of resident names, and the first house data query instruction is used for representing the clue number corresponding to the person room data, the community treatment channel name corresponding to the person room data, the community name, a floor name, a house number and the combined query condition of a house number. The cue number is used for representing the unique number allocated to the personnel room data when the personnel room data is uploaded by the community treatment channel.
According to the first person port data query instruction, determining first target person room data in the cable library, displaying the first target person room data, and/or according to the first house data query instruction, determining second target person room data in the cable library, and displaying the second target person room data.
In this embodiment, the combined query condition may represent a combination of various query conditions, for example, a combined query condition for a number of people's room data, a community administration channel name corresponding to the people's room data, and a resident name, where the combined query condition may include the number of people's room data and the community administration channel name corresponding to the people's room data, and may also include the number of people's room data, the community administration channel name corresponding to the people's room data, and the resident name. It should be noted that, in addition to this method, the data query may be performed under a single query condition.
When the house data enters the cue library through the community administration channel, the house data comprises population data and house data, wherein the population data comprises community administration channel information (cue number, channel name, presenter mobile phone number and time), associated house information (community name, floor name, specific house number, house use type, house use and house lease status) and population basic information (resident name, room number, sex, whether party, marital status, resident certificate type, resident certificate number, resident contact phone, identity type, management type, whether home address and resident record).
House data includes community administration channel information (cue number, channel name, presenter cell phone number and time), floor information (belonging area, community, floor name, house type, total number of buildings, total number of houses, greening rate, year of construction and property company) and basic house information (house type, building area, area in-house, house orientation, decoration condition, property type, rental information and tenant information).
In one possible implementation, after storing the house data uploaded by the plurality of community administration channels in the cue library, the method further comprises:
Receiving a population data operation instruction and/or a house data operation instruction, wherein the population data operation instruction is used for representing modification operations corresponding to community treatment channel information, associated house information and/or population basic information corresponding to resident personnel, and the house data operation instruction is used for representing modification operations corresponding to community treatment channel information, building information and/or house basic information corresponding to houses.
And according to the received population data operation instruction, modifying community treatment channel information, associated house information and/or population basic information corresponding to resident personnel in the cable library.
And/or modifying community treatment channel information, building information and/or basic house information corresponding to the houses in the wire library according to the house data operation instruction.
In one possible implementation, updating the personal room data in the auxiliary library to the standard library according to the channel type and the channel credibility level by adopting a first self-updating algorithm comprises the following steps:
a1, judging whether the non-trusted people's house data exist in the auxiliary library, if yes, reading one piece of non-trusted people's house data from the auxiliary library to obtain third target people's house data, otherwise, ending the process of updating the people's house data to the standard library. The non-trusted human house data is used to characterize data that has not been processed by the auxiliary library.
A2, judging whether the channel type corresponding to the third target house data is a verification-free channel, if so, marking the third target house data in the clue library as a trusted, updating the third target house data into the standard library, returning to the step A1, and otherwise, entering the step A3.
A3, determining community treatment channels corresponding to third target personnel room data to obtain a first target community treatment channel, and determining community treatment channels with highest channel credibility level except the first target community treatment channel to obtain a second target community treatment channel.
And A4, comparing the personnel room data corresponding to the second target community treatment channel with the third target personnel room data, and obtaining comparison data corresponding to the third target personnel room data, wherein the comparison data is empty or the personnel room data with the same name, certificate number and room number as those of the resident personnel of the third target personnel room data.
And A5, when the comparison data is the resident name, the certificate number and the room data which are the same as the third target room data, judging whether the comparison data is the same as other information in the third target room data, if so, updating the comparison data or the third target room data into a standard library, marking the third target room data and the comparison data in an auxiliary library as acquired information, and discarding the data which are the same as the certificate number and the room number of the third target room data in the auxiliary library, and returning to the step A1 to clean redundant data, otherwise, entering the step A6. Other information is used to characterize information in the personnel's room data other than the resident's name, identification number, and room number.
When the comparison data is empty, a human-room data verification task is generated, and the comparison data generated by human-computer interaction is received as a corresponding task verification result.
And (3) judging whether the task verification result is successful, if so, updating the third target house data in the auxiliary library to the standard library, marking the third target house data in the auxiliary library as acquired information, and discarding the data which are the same as the certificate number and the house number of the third target house data in the auxiliary library, returning to the step A1 to clean redundant data, otherwise, discarding the third target house data, and returning to the step A1.
And A6, judging whether the channel credibility level corresponding to the comparison data is higher than that corresponding to the third target personnel room data, if so, updating the comparison data into a standard library, returning to the step A1, otherwise, updating the third target personnel room data into the standard library, and returning to the step A1.
By formulating the standard fields of the data of the personnel house, being compatible with multi-channel data acquisition and constructing a data self-updating algorithm, the integrity and freshness of the data can be ensured, and the workload of basic staff can be reduced. Meanwhile, as the data volume is increased, the algorithm is further perfected, a virtuous circle is formed, and the method has positive popularization and application effects on the management of the data of people/houses under community treatment.
Optionally, since only part of the key fields are verified during non-empty verification, other non-key fields may be empty, and thus the non-key fields may be complemented according to data corresponding to other community administration channels.
In one possible implementation manner, after updating the personal room data in the auxiliary library into the standard library according to the channel type and the channel credibility level by adopting the first self-updating algorithm, the method further comprises:
and receiving a second population data query instruction and/or a second house data query instruction, wherein the second population data query instruction is used for representing the combined query condition of the cue number, the resident name, the certificate type and the certificate number corresponding to the human house data, and the second house data query instruction is used for representing the combined query condition of the cue number, the building name and the house number corresponding to the human house data.
And determining fourth target house data in the auxiliary library according to the second population data query instruction, displaying the fourth target house data, and/or determining fourth target house data in the auxiliary library according to the second house data query instruction, and displaying the fourth target house data.
In one possible implementation, updating the data in the standard database with the second self-updating algorithm based on the person's house data updated to the standard database includes:
and determining the certificate number and the room number in the personnel room data updated to the standard library to obtain the target certificate number and the target room number.
And inquiring whether corresponding personnel room data exist in the standard library by taking the target certificate number and the target house number as inquiry conditions, if so, updating the personnel room data in the standard library on the basis of the personnel room data updated to the standard library to finish self-updating of the personnel room data, otherwise, newly adding the personnel room data in the standard library on the basis of the personnel room data updated to the standard library to finish self-updating of the personnel room data. When the data of the person rooms are newly added in the standard library, a unique room source number is generated for each room.
In one possible implementation, after updating the data in the standard database with the second self-updating algorithm based on the human-room data updated to the standard database, the method further includes:
and receiving a third population data query instruction and/or a third house data query instruction, wherein the third population data query instruction is used for representing the combined query conditions of resident names, certificate numbers and population labels, and the third house data query instruction is used for representing the combined query conditions of house source numbers, house numbers and house source labels.
And determining fifth target house data in the standard library according to the third population data query instruction, displaying the fifth target house data, and/or determining fifth target house data in the standard library according to the third house data query instruction, and displaying the fifth target house data.
Population tags are tags that are manually customized to data after population data enters a standard library, such as: disabled persons. The house source tag is a mark for customizing data manually after house source data enters a standard library, for example: and renting rooms by groups.
In one possible implementation, after updating the data in the standard database with the second self-updating algorithm based on the human-room data updated to the standard database, the method further includes:
and receiving a population data dictionary operation instruction and/or a house data field operation instruction, wherein the population data dictionary operation instruction is used for representing the modification operation of resident names, certificate types, certificate numbers, contact phones, sexes, marital status, whether the resident is a party, whether the resident is a household address, a resident record and/or a population label, and the house data field operation instruction is used for representing the modification operation of house types, building areas, suite areas, house orientations, decoration conditions, property types, lease types, building information, property information, lease information and/or lease information.
And modifying the data in the standard library according to the port data dictionary operation instruction and/or modifying the data in the standard library according to the house data field operation instruction.
According to the community treatment-based house data self-updating method, the house data of a plurality of community treatment channels are fused for self-updating, the integrity of the data can be effectively guaranteed through compliance verification of the house data, and the house data can be automatically stored through a self-updating algorithm, so that the working pressure of workers is reduced, and the working efficiency is improved.
Example 2
As shown in FIG. 2, the embodiment of the invention provides a community treatment-based personal house data self-updating system, which comprises a clue library, an auxiliary library and a standard library.
The clue library is used for storing the personnel room data uploaded by the community treatment channels, carrying out compliance verification on the personnel room data, and transmitting the personnel room data passing the compliance verification to the auxiliary library so as to realize preliminary filtration of the personnel room data. The person room data is used for representing resident information, house information and association relation between the resident information and the house information of the community.
The auxiliary library is used for determining channel types and channel credibility levels corresponding to community treatment channels corresponding to the personnel house data, the channel types comprise verification-free channels or channels needing verification, and the verification-free channels are used for representing data corresponding to the community treatment channels without verification and are directly stored in the standard library. And after the data corresponding to the community treatment channel is verified, the channel to be verified is stored in a standard library. And updating the personnel room data in the auxiliary library into the standard library by adopting a first self-updating algorithm according to the channel type and the channel credibility level so as to realize secondary filtering of the personnel room data.
The standard library is used for updating the data in the standard database by adopting a second self-updating algorithm based on the personnel room data updated to the standard library so as to enable staff to check and call the data and complete the self-updating of the personnel room data. The data in the standard database is stored in the form of a digital dictionary.
In one possible implementation, the cue library includes a first query sub-module, a collection channel management sub-module, a manual processing data sub-module, and a data compliance verification rule sub-module.
The first query sub-module comprises a first person data query unit and a first house data query unit.
The first demographic data query unit is used for supporting the query according to the combination condition of the cue number, the channel name and the resident name and displaying the query result when querying the demographic data.
The first house data query unit is used for supporting the query according to the clue number, the channel name, the community name, the building name, the house number and the house number combination condition when querying the house data, and displaying the query result.
The acquisition channel management sub-module can control whether the clue library stores the personal room data acquired from 6 channels, and respectively report for a gridding member, a property, a lease mechanism, a self-service machine, a mobile phone base station and an applet.
The manual processing sub-module includes a demographic data operation unit and a house data operation unit.
The population data operation unit is used for managing population information, and operable population information comprises belonging channel information, associated house information and population basic information.
The house data operation unit is used for managing house information, and operable house information comprises information of belonging channels, information of belonging building trays and basic house information.
The data compliance verification rule sub-module is used for carrying out non-empty verification according to the data non-empty verification rule, carrying out data format verification according to the data format verification rule and carrying out data stock verification according to the stock data verification rule.
The data non-null check rule includes: the community name, the building name, the house number, the resident name, the certificate type and the certificate number are required to be satisfied and cannot be empty.
The data format verification rule includes: 1) The room number format needs to meet the X room numbers of X units and X layers. 2) The certificate type format needs to meet legal standards. 3) The identification card number needs to meet legal standard. 4) The resident name format needs to contain only letters, numbers, kanji, underlines (a), and cannot start with numbers, underlines (a), and is no longer than 20 characters in length.
The stock data verification rule includes: the community name needs to be satisfied as the existing community name in the standard library. The floor name needs to be satisfied as the floor name existing in the standard library.
In one possible implementation, the secondary repository includes a second query sub-module, a channel trusted hierarchical management sub-module, a secondary repository self-updating algorithm sub-module, and a task management sub-module.
The second query sub-module comprises a second population data query unit and a second house data query unit, wherein the second population data query unit is used for supporting the combination condition query according to the clue number, the name of the resident, the certificate type and the certificate number and displaying the query result when the population data is queried. The second house data query unit is used for supporting the combination condition query according to the cue number, the building name and the house number when querying the house data, and displaying the query result.
The channel credibility hierarchical management submodule is used for channel trial-free configuration and channel credibility hierarchical configuration.
The channel review-free configuration includes: and controlling whether different channels corresponding to the personnel room data in the auxiliary warehouse open the leave-on switch. If the channel is opened, the data representing the channel is directly marked as trusted without verification, if the channel is not opened, the data representing the channel is required to be verified and the data passes verification and then is marked as trusted. The channel trusted hierarchical configuration includes: and controlling the credibility levels of different channels corresponding to the personnel room data in the auxiliary library, and setting positive integers and representing the credibility levels to be sequentially from high to low.
The auxiliary library self-updating algorithm submodule is used for carrying out data updating by adopting a first self-updating algorithm, and specifically comprises the following steps:
assuming preconditions: and a channel (a) to which the data (a 1) belongs passes the data compliance verification of the cue library, and the data (a 1) enters the auxiliary library.
B1, firstly, reading the review-free configuration corresponding to the channel (a) to which the data (a 1) belongs from the auxiliary library.
B2, if the representative data (a 1) is started and is marked as trusted without verification, the data (a 1) enters a standard library, and the process is ended.
B3, if the representative data (a 1) is not opened and needs to be verified, traversing a channel (B) with highest credible classification in other channels except the channel (a) from the auxiliary, and taking the time under the channel (B) as the latest piece of data (B1).
B4, comparing the data of (a 1) and (B1) and defining comparison conditions: the resident name (k 1), the certificate number (k 2), the house number (k 3). If the comparison conditions (k 1, k2 and k 3) are all consistent, the comparison result is successful. If the comparison conditions are inconsistent, the comparison result is failed.
And B5, if the data comparison result fails, calling a task management submodule to generate a task to be verified and waiting for a task callback verification result.
And B6, if the task verification result is successful, marking the data (a 1) as trusted, and entering the data (a 1) into a standard library. And inquiring the associated data in the auxiliary by using the certificate number and the room number in the data (a 1) to be marked as invalid, so as to clean the redundant data, and ending the flow.
And B7, if the task verification result fails, marking the data (a 1) as being invalidated, and ending the flow.
B8, the data comparison result is successful, and both (a 1) and (B1) are marked as acquired messages. And then inquiring the associated data in the auxiliary by the certificate number and the room number in the data (a 1) to be marked as being invalidated, so as to clean the redundant data.
B9, (a 1) and (B1) further data are compared with other information than (k 1, k2, k 3).
And B10, if the other information comparison is completely consistent, any piece of data is taken from the (a 1) and the (B1) to be assembled into new data (c 1), the data (c 1) enters a standard library, and the process is ended.
And B11, if other information is not completely consistent, judging which credible grade of the channel (a) and the channel (B) is higher, and assembling new data (d 1) based on the data with higher credible grade of the channel, wherein the data (d 1) enters a standard library, and the process is ended.
The task management submodule is used for triggering and generating a corresponding task to be verified according to failure of the data comparison result in the data self-updating algorithm submodule. The task verification results call back data self-updates the algorithm sub-module for processing of the next step of algorithm rules.
In one possible implementation, the criteria library includes a third query sub-module, a person's house data criteria field management sub-module, and a criteria library self-algorithm sub-module.
The third query sub-module includes a third demographic data query unit and a third house data query unit.
The third population data query unit is used for supporting the query according to the combination condition of the name, the certificate number and the population label and displaying the query result when the population data is queried.
The third house data query unit is used for supporting house source number, house number and house source label combination condition query and displaying query results when querying house data.
The room source number is used for representing the number corresponding to the personal room data stored in the standard library.
The house data standard field management submodule comprises a population data dictionary management unit and a house data dictionary management unit.
The population data dictionary management unit is used for managing population data stored in the form of a data dictionary, such as resident names, certificate types, certificate numbers, contact phones, sexes, marital status, whether the resident is a party, whether the resident is a home address, resident records, population labels and the like.
The house data dictionary management unit is used for managing house data stored in the form of a data dictionary, such as house types, building areas, sleeve areas, house orientations, decoration conditions, property types, lease types, affiliated building information, property information, lease information and the like.
The standard library self-updating algorithm submodule is used for updating data in the standard library through a second self-updating algorithm, and specifically comprises the following steps:
assuming preconditions: the data (a 2) and the data (b 2) are successfully compared, new data (c 2) is assembled in a grading manner according to a trusted channel, and the data (c 2) enters a standard library.
C1, using a specified query condition: the certificate number (k 2) and the house number (k 3) are used for inquiring whether the standard library has data.
And C2, if the data is stored, judging that the data (C2) is the stock data, executing the data updating operation, and ending the flow.
And C3, if not, judging the data (C2) as incremental data, executing data addition operation, inquiring the associated data in the standard library by the 'certificate number' in the data (C2) to be marked as being obsolete, so as to clean the redundant data, and ending the flow.
According to the personal room data self-updating method and system based on community management, the data of each community management channel are integrated, and the data in the standard library is updated by adopting a data self-updating algorithm, so that the integrity and the freshness of the data can be ensured, and the workload of basic staff can be reduced.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. A personal room data self-updating method based on community management is characterized by comprising the following steps:
storing the personnel room data uploaded by a plurality of community treatment channels in a clue library, carrying out compliance verification on the personnel room data, and storing the personnel room data passing the compliance verification in an auxiliary library so as to realize preliminary filtration of the personnel room data;
Determining channel types and channel credibility levels corresponding to the community treatment channels corresponding to the personnel house data in the auxiliary library, wherein the channel types comprise verification-free channels or channels needing verification, and the verification-free channels are used for representing the data corresponding to the community treatment channels without verification and are directly stored in a standard library; the channel to be verified shows that the data corresponding to the community treatment channel passes the verification and then is stored in a standard library;
updating the personnel room data in the auxiliary library into the standard library by adopting a first self-updating algorithm according to the channel type and the channel credibility level so as to realize secondary filtering of the personnel room data;
based on the house data updated to the standard library, updating the data in the standard database by adopting a second self-updating algorithm so as to allow staff to check and call the data and complete the self-updating of the house data; the data in the standard database is stored in the form of a digital dictionary.
2. The community administration-based house data self-updating method according to claim 1, wherein the house data uploaded by a plurality of community administration channels are stored in a clue library, the house data are subjected to compliance verification, and the house data which pass the compliance verification are stored in an auxiliary library, and the method comprises the steps of:
Acquiring personnel room data uploaded by a plurality of community management channels in a grid member reporting channel, a property reporting channel, a house lease mechanism reporting channel, a community self-service machine reporting channel, a community resident mobile phone reporting channel and an applet reporting channel, and storing the uploaded personnel room data in a clue library;
carrying out non-empty verification on the house data by adopting a data non-empty verification rule to obtain a non-empty verification result corresponding to the house data, wherein the non-empty verification result comprises a field which is empty in the house data or a field which is not empty in the house data;
when the non-empty verification result is that the empty field exists in the personnel room data, the personnel room data with the empty field is not operated; when the non-empty verification result is that the empty field does not exist in the personnel room data, carrying out data format verification on the personnel room data by adopting a data format verification rule to obtain a data format verification result, wherein the data format verification result comprises the compliance of the formats of the personnel room data or the non-compliance of the formats of the personnel room data;
when the data format verification result is that the format of the personnel room data is not compliant, the personnel room data with the non-compliant format is not operated; when the data format verification result is that the format of the personnel room data is compliant, carrying out stock verification on the personnel room data by adopting a stock data verification rule to obtain a stock verification result, wherein the stock verification result comprises data corresponding to the personnel room data as a standard library or data corresponding to the personnel room data not as the standard library;
When the stock verification result is that the house data is not the data corresponding to the standard library, not operating the house data not corresponding to the standard library; when the stock verification result is that the house data is the data corresponding to the standard library, the house data corresponding to the standard library is stored in the auxiliary library, and the collection of the house data is completed.
3. The community governance-based house data self-updating method of claim 1, further comprising, after storing house data uploaded by a plurality of community governance channels in a cue library:
receiving a first person port data query instruction and/or a first house data query instruction, wherein the first person port data query instruction is used for representing a clue number corresponding to the person room data, a community administration channel name corresponding to the person room data and a combined query condition of resident names, and the first house data query instruction is used for representing a clue number corresponding to the person room data, a community administration channel name corresponding to the person room data, a community name, a floor name, a house number and a combined query condition of a house type; the cue number is used for representing the unique number allocated to the personnel room data when the personnel room data is uploaded by the community treatment channel;
According to the first person port data query instruction, determining first target person room data in the cable library, displaying the first target person room data, and/or according to the first house data query instruction, determining second target person room data in the cable library, and displaying the second target person room data.
4. The community governance-based house data self-updating method of claim 1, further comprising, after storing house data uploaded by a plurality of community governance channels in a cue library:
receiving a population data operation instruction and/or a house data operation instruction, wherein the population data operation instruction is used for representing modification operations corresponding to community treatment channel information, associated house information and/or population basic information corresponding to resident personnel, and the house data operation instruction is used for representing modification operations corresponding to community treatment channel information, building information and/or house basic information corresponding to houses;
modifying community treatment channel information, associated house information and/or population basic information corresponding to resident in the cable library according to the received population data operation instruction;
and/or modifying community treatment channel information, building information and/or basic house information corresponding to the houses in the wire library according to the house data operation instruction.
5. The community-administration-based personal-room data self-updating method as claimed in claim 1, wherein updating the personal-room data in the auxiliary library to the standard library by adopting a first self-updating algorithm according to the channel type and the channel credibility level comprises:
a1, judging whether the non-trusted people's house data exist in the auxiliary library, if so, reading one piece of non-trusted people's house data from the auxiliary library to obtain third target people's house data, otherwise, ending the process of updating the people's house data to the standard library; the unauthorised personnel house data are used for representing data which are not processed by the auxiliary library;
a2, judging whether the channel type corresponding to the third target house data is a verification-free channel, if so, marking the third target house data in the clue library as a trusted, updating the third target house data into the standard library, returning to the step A1, otherwise, entering the step A3;
a3, determining community treatment channels corresponding to third target personnel room data to obtain a first target community treatment channel, and determining community treatment channels with highest channel credibility level except the first target community treatment channel to obtain a second target community treatment channel;
A4, comparing the personnel room data corresponding to the second target community treatment channel with the third target personnel room data to obtain comparison data corresponding to the third target personnel room data, wherein the comparison data is empty or the personnel room data with the name, the certificate number and the room number of the resident personnel of the third target personnel room data;
a5, when the comparison data is the resident name, the certificate number and the room data which are the same as the third target room data, judging whether the comparison data is the same as other information in the third target room data, if so, updating the comparison data or the third target room data into a standard library, marking the third target room data and the comparison data in an auxiliary library as acquired information, and discarding the data which are the same as the certificate number and the room number of the third target room data in the auxiliary library, and returning to the step A1 to clean redundant data, otherwise, entering the step A6; the other information is used for representing information except the name, the certificate number and the room number of the resident in the room data;
when the comparison data is empty, generating a human-room data verification task, and receiving the comparison data generated by human-computer interaction as a corresponding task verification result;
Judging whether the task verification result is successful, if so, updating a third target house data standard in the auxiliary library to a standard library, marking the third target house data in the auxiliary library as acquired information, and voiding the data in the auxiliary library, which are identical to the certificate number and the house number of the third target house data, and returning to the step A1 to clean redundant data, otherwise voiding the third target house data, and returning to the step A1;
and A6, judging whether the channel credibility level corresponding to the comparison data is higher than that corresponding to the third target personnel room data, if so, updating the comparison data into a standard library, returning to the step A1, otherwise, updating the third target personnel room data into the standard library, and returning to the step A1.
6. The community-administration-based house data self-updating method as claimed in claim 1, wherein after the house data in the auxiliary library is updated to the standard library by adopting the first self-updating algorithm according to the channel type and the channel credibility level, further comprising:
receiving a second population data query instruction and/or a second house data query instruction, wherein the second population data query instruction is used for representing a clue number, a resident name, a certificate type and a combined query condition of the certificate number corresponding to the human house data, and the second house data query instruction is used for representing a clue number, a building name and a combined query condition of the house number corresponding to the human house data;
And determining fourth target house data in the auxiliary library according to the second population data query instruction, displaying the fourth target house data, and/or determining fourth target house data in the auxiliary library according to the second house data query instruction, and displaying the fourth target house data.
7. The community-administration-based personal-room data self-updating method of claim 1, wherein updating the data in the standard database with the second self-updating algorithm based on the personal-room data updated to the standard database comprises:
determining the certificate number and the room number in the personnel room data updated to the standard library to obtain a target certificate number and a target room number;
inquiring whether corresponding personnel room data exist in the standard library by taking the target certificate number and the target house number as inquiry conditions, if so, updating the personnel room data in the standard library on the basis of the personnel room data updated to the standard library to finish self-updating of the personnel room data, otherwise, newly adding the personnel room data in the standard library on the basis of the personnel room data updated to the standard library to finish self-updating of the personnel room data;
when the data of the person rooms are newly added in the standard library, a unique room source number is generated for each room.
8. The community-administration-based personal-room data self-updating method as claimed in claim 7, wherein after updating the data in the standard database by using the second self-updating algorithm based on the personal-room data updated to the standard database, further comprising:
receiving a third population data query instruction and/or a third house data query instruction, wherein the third population data query instruction is used for representing the combined query conditions of resident names, certificate numbers and population labels, and the third house data query instruction is used for representing the combined query conditions of house source numbers, house numbers and house source labels;
and determining fifth target house data in the standard library according to the third population data query instruction, displaying the fifth target house data, and/or determining fifth target house data in the standard library according to the third house data query instruction, and displaying the fifth target house data.
9. The community-administration-based personal-room data self-updating method as claimed in claim 1, wherein after updating the data in the standard database by using the second self-updating algorithm based on the personal-room data updated to the standard database, further comprising:
Receiving a population data dictionary operation instruction and/or a house data field operation instruction, wherein the population data dictionary operation instruction is used for representing modification operations of resident names, certificate types, certificate numbers, contact phones, sexes, marital status, party numbers, household addresses, residence records and/or population labels, and the house data field operation instruction is used for representing modification operations of house types, building areas, suite areas, house orientations, decoration conditions, property types, lease types, building information, property information, lease information and/or lease information;
and modifying the data in the standard library according to the port data dictionary operation instruction and/or modifying the data in the standard library according to the house data field operation instruction.
10. The system is characterized by comprising a clue library, an auxiliary library and a standard library;
the clue library is used for storing the personnel room data uploaded by the community treatment channels, carrying out compliance verification on the personnel room data, and transmitting the personnel room data passing the compliance verification to the auxiliary library so as to realize preliminary filtration of the personnel room data;
The auxiliary library is used for determining channel types and channel credibility levels corresponding to community treatment channels corresponding to the personnel house data, wherein the channel types comprise verification-free channels or channels requiring verification, and the verification-free channels are used for representing that the data corresponding to the community treatment channels do not need to be verified and are directly stored in the standard library; the channel to be verified shows that the data corresponding to the community treatment channel passes the verification and then is stored in a standard library; updating the personnel room data in the auxiliary library into the standard library by adopting a first self-updating algorithm according to the channel type and the channel credibility level so as to realize secondary filtering of the personnel room data;
the standard library is used for updating the data in the standard database by adopting a second self-updating algorithm based on the house data updated to the standard library so as to enable staff to check and call the data and complete the self-updating of the house data; the data in the standard database is stored in the form of a digital dictionary.
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